Conference
Open access
Sep 2026
Constraining Generative Models: A Survey from the Constraint Programming Perspective
Generative models produce long and high probability sequences, yet they often fail to satisfy explicit constraints set by users. Over the past two decades, Constraint Programming (CP) has provided a complementary paradigm: combining generative models with a constraint solver to guarantee feasibility. This survey review...
Alexandre Bonlarron, F. Pachet, Pierre Roy et al.
· Proceedings of the Thirty-Fi... · 2 citations